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Agentic AI Course
Accelerate your career with advanced Agentic AI training. Gain hands-on experience, earn your Agentic AI certification, and master autonomous AI agent technologies to design, deploy, and manage intelligent systems that operate independently to solve complex real-world challenges.
Agentic AI Course Overview
Key Features
Who All Can Attend This Agentic AI Course?
The Agentic AI course is designed for learners who want to build intelligent autonomous systems, automate workflows, and leverage next-gen AI capabilities in real-world applications. Whether you're from a technical or non-technical background, this course equips you with the skills to design, deploy, and manage AI agents effectively.Prerequisites To Take Agentic AI Course
There are no prerequisites, but having a basic understanding of digital systems and AI concepts will help you learn faster. The course is designed to be beginner-friendly while still covering advanced applications.
- Upskill or reskill your teams
- Immersive Learning Experiences
- Private cohorts available
- Advanced Learner Analytics
- Skills assessment & benchmarking
- Platform integration capabilities
- Dedicated Success Managers
- Upskill or reskill your teams
- Immersive Learning Experiences
- Private cohorts available
- Advanced Learner Analytics
Play Intro Video
Seeking Placement Assistance?
As AI rapidly shifts from simple automation to fully autonomous, goal-driven agents, Agentic AI skills are becoming essential for the future of work. This course helps you understand the architecture, workflows, and real-world applications of AI agents—enabling you to build systems that can plan, reason, execute tasks, and collaborate with other agents with minimal human intervention. Whether you're a developer, business leader, or tech enthusiast, this training equips you to stay ahead in the next era of intelligent automation.
High Demand for Agentic AI Course
Soaring Demand and Accelerated Growth
Professionals who specialize in agentic AI are increasingly valued as businesses adopt intelligent automation, autonomous agents, and multi-agent orchestration to handle complex workflows. Because this is a cutting-edge field combining AI, automation, and software architecture, such roles command competitive salaries. These specialists bridge the gap between data science, AI engineering, and software development.
$110k
$140k
$180k
Skills Focused
- Introduction to Agentic AI course
- Fundamentals of Autonomous Agents
- AI Decision-Making Techniques
- Agent-Based Modeling
- AI System Deployment
- Real-World AI Applications
Career Path
Certification Process
Connect With Reps
Frequently Asked Questions
Agentic AI refers to AI systems built from autonomous “agents” that perceive their environment, reason, plan, and act independently to achieve goals, often without constant human direction.
Traditional AI (like chatbots) typically executes tasks based on prompts, while Agentic AI involves agents with decision-making capabilities, multi-step workflows, and often multi-agent collaboration.
This course is ideal for AI/ML engineers, software developers, automation professionals, data scientists, product managers, business analysts, and anyone interested in designing autonomous AI systems.
You don’t need deep AI experience, but a basic understanding of Python, programming, and AI/ML fundamentals is highly recommended.
Recommended prerequisites include familiarity with Python programming, basic AI/ML concepts, and an understanding of APIs or automation workflows.
You’ll learn to use Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, and more.
Yes. The course teaches how to design, coordinate, and deploy multiple autonomous agents that communicate and work together.
Yes — the curriculum often includes reinforcement learning techniques (such as Q-learning or PPO) to enable agents to make better decisions.
Absolutely. You will build practical workflows where agents plan, call APIs, self-correct, and complete multi-step tasks.
The course lasts for 3 days to a few weeks, depending on the learning format you choose.
Yes, the course is available in both online and offline learning formats.
Yes. On successful completion, you get a certification from NevoLearn that validates your skills in building autonomous AI agents.
Yes. The course includes hands-on labs, real-world projects, and challenge-based exercises to build, deploy, and optimize agentic systems.
You’ll learn to build production-ready agents, integrate them with tools and APIs, and deploy multi-agent systems in scalable environments.
Yes — you’ll be introduced to ethical considerations, security risks, and best practices when designing autonomous agents.
You’ll build agents for use cases like workflow automation, API orchestration, multi-agent collaboration, and task planning.
Yes. The course includes LLM integration, prompt engineering, and context memory management for intelligent agent behavior.
Yes — you’ll gain practical skills and a project portfolio that can help you apply for AI engineering, automation roles, or freelance agentic AI development.
You can sign up through the NevoLearn website, choose your batch (online/in-person), and complete the payment or application process.
Recordings, lab materials, and assignment access are typically provided so you can catch up and review at your own pace.
Not always. While cloud deployment may be part of the course, basic cloud knowledge helps but is not mandatory.
Yes. Python is commonly used for building agents, reinforcement learning, and integrating with LLMs and agent frameworks.
